Run: 2026-04-24-01KQ0PMKMAG7HH37W1RJXJC7GX

Run Details

Model:
GPT-5.5
Duration:
9.5s
Cost:
$0.010230
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
20.19% Matches word count (details)
99.83% Dialogue to Total Word Ratio (details)
60.0089% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly crouched behind the privet hedge, studying the backyard like a general facing a bouncy castle. Balloons bobbed from the fence, a clown twisted balloons into suspiciously weak swords, and a table sagged beneath a mountain of glittering presents. “Bill,” she whispered, “count the guards.” Bill adjusted his fake mustache. “Seven children, one clown, two mothers, and a dog wearing a tiara.” “The dog worries me.” “The dog worries everyone.” Molly unfolded a crayon-drawn map. “We enter through the side gate during cake.” “Cake creates chaos.” “Exactly. You distract them.” “With what?” “Your juggling.” “I don’t juggle.” “You told me you did.” “I said I struggle.” Molly sighed. “Fine. You announce a magician has arrived.” “Do I know magic?” “You can make confidence disappear.” Bill nodded solemnly. “That’s my signature trick.” A cheer erupted as the birthday boy attacked a piñata shaped like a tax accountant. Molly pointed. “When candy drops, we move. Presents into the wagon.” “The red wagon?” “Yes.” “Small problem.” “What?” Bill revealed a tiny plastic wheel in his palm. “I stepped on it.” Molly stared. “Bill.” “It squeaked at me.” Across the lawn, the tiara dog barked. Molly grabbed the broken wheel. “New plan.” “Run?” “Volunteer to fix the wagon.” Bill brightened. “Then steal presents?” Molly watched a toddler hug a package. “No. Then steal cake.”
created_at"2026-04-24T21:34:22.872Z" 4/24/2026, 9:34:22 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1524
moderation_latency(null)
generation_time9405
tokens_prompt77
tokens_completion444
native_tokens_prompt66
native_tokens_completion330
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.01023
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0404560aa8ed21290169ebe1def7288193b684afee4cda8073"
is_byokfalse
latency287
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777066462-a7hgzIlDOnc1L7m7uV6H"
session_id(null)
api_type"completions"
id"gen-1777066462-8UXKT0xtMHzOfJa69tiC"
upstream_id"resp_0404560aa8ed21290169ebe1def7288193b684afee4cda8073"
total_cost0.01023
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
20.19% Matches word count n/a
neededCleanfalse
words220
99.83% Dialogue to Total Word Ratio
Ratio: 52.04%, Deviation: 2.04%
neededCleanfalse
wordsTotal221
wordsDialogue115
60.0089%